1. Matplotlib Tutorial - Jake VanderPlas


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    An important part of data-intensive scientific computing is data visualization. Matplotlib offers a full-featured data visualization package within Python, which is built to interface well with numpy,…

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    • Keynote - Remaking the PSF - Van Lindberg


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      Van is a lawyer at Haynes and Boone, where he spends most of his time helping clients with patent defense and open source questions. For a lawyer, though, he spends an inordinate amount of time working…

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      • IPython Parallel - Brian Granger


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        Working with data at large scales requires parallel computing to access large amounts of RAM and CPU cycles. Users need a quick and easy way to leverage these resources without becoming an expert…

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        • Image Data Exploration, iPython, and Disco - Davin Potts


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          Davin will talk about the large data problems at Stipple, which attempts to index and automatically tag all of the world's images. He will demonstrate ad-hoc data mining using a combination of…

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          • Panel Discussion - R Hadoop and Python


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            Panelists: Wes McKinney, Davin Potts, K. Young Moderator: Chris Mueller

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            • Timeseries and Pandas - Chang She


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              Since v0.8, the pandas library has greatly expanded its timeseries functionality. This tutorial will give an introduction to working with timeseries data in pandas. We'll cover how to create…

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              • GPU and Python - Andreas Klockner


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                Why use GPUs from Python? This workshop will provide a brief introduction to GPU programming with Python, including run-time code generation and use of high-level tools like PyCUDA and PyOpenCL, and…

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                • PyTables - Francesc Alted


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                  HDF5 is a standard de-facto binary file type specification. However, what makes HDF5 great is the numerous libraries to interact with files of this type and their extremely rich feature set. HDF5…

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                  • MPI - Andy Terrel


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                    The Message Passing Interface (MPI) has been called the assembly language of distributed parallel computing. It is the de facto message passing standard for effectively and portably utilizing the…

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                    • Large Scale Machine Learning with SHOGUN 2.0 - Christian Widmer


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                      This talk was presented at PyData NYC 2012: http://nyc2012.pydata.org/. If you are interested in this topic, be sure to check out PyData Silicon Valley in March of 2013: http://sv2013.pydata.org/

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